Self-Correcting Generalization
Abstract
A system is described which creates and generalizes rules from examples. The system can recover from an initially misleading input sequence by keeping evidence which supports (or doesn't support) a given generalization. By undoing over-generalizations, the system maintains a minimal set of rules for a given set of inputs.
Cite
Text
Whitehill. "Self-Correcting Generalization." AAAI Conference on Artificial Intelligence, 1980.Markdown
[Whitehill. "Self-Correcting Generalization." AAAI Conference on Artificial Intelligence, 1980.](https://mlanthology.org/aaai/1980/whitehill1980aaai-self/)BibTeX
@inproceedings{whitehill1980aaai-self,
title = {{Self-Correcting Generalization}},
author = {Whitehill, Stephen B.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1980},
pages = {240-242},
url = {https://mlanthology.org/aaai/1980/whitehill1980aaai-self/}
}